Explore the concept of "self-driving storage," where AI and AIOps autonomously manage data infrastructure. Learn how mobile storage partitions, predictive analytics, and agentic AI are used to automate capacity management, workload placement, and on-demand performance optimization without human intervention.
Tech leader and investor Michelle Yi discusses the critical technical aspects of building trustworthy AI systems. She delves into adversarial attack and defense mechanisms, including red teaming, data poisoning, prompt stealing, and "slop squatting," and explores how advanced concepts like Constitutional AI and World Models can create safer, more reliable AI.
A deep dive into the AI hardware landscape, exploring NVIDIA's dominance, the challenges for competitors like custom silicon and startups, and the critical infrastructure bottlenecks of power and data centers that define the next phase of the AI race.
Andrew Browne demystifies F# Computation Expressions, showing how this powerful feature is a simple syntactic transformation. He demonstrates building custom expressions for handling optional values (maybe), asynchronous sequences, and even creating a Domain-Specific Language (DSL) with Free Monads for robust testing.
Devin Stein, CEO of Dosu, discusses a new paradigm for knowledge management where an AI agent learns from code, conversations, and tickets to create an 'eventually consistent' knowledge base. The conversation explores the lifecycle of facts, the challenges of agent interaction, and the future of documentation in a world of collaborating AI agents.
Brian Balfour, founder of Reforge, explains the predictable four-step cycle of technology platforms, from open to closed, and argues that ChatGPT is about to enter the "open" phase, creating a massive, time-sensitive distribution opportunity that startups and incumbents alike cannot afford to ignore.